Shanghai, China

Ren Jie Feng


Average Co-Inventor Count = 7.5

ph-index = 1


Company Filing History:


Years Active: 2024-2025

where 'Filed Patents' based on already Granted Patents

2 patents (USPTO):

Title: Ren Jie Feng: Innovator in Artificial Intelligence Model Conversion

Introduction

Ren Jie Feng is a prominent inventor based in Shanghai, China. He has made significant contributions to the field of artificial intelligence through his innovative patents. With a total of 2 patents, Ren Jie Feng is recognized for his work in optimizing AI model conversion processes.

Latest Patents

Ren Jie Feng's latest patents include "Optimizing operator granularity in compiling and converting artificial intelligence (AI) models" and "Uniform artificial intelligence model conversion." The first patent focuses on a method for improving converter and compiler operator granularity. In this method, a processor extracts operator granularity from an AI framework and an original model. It also receives device characteristics from a target device to output appropriate granularity levels for both the converter and compiler. The second patent involves converting an AI model generated in a first framework to a uniform exchange formatted model. This process utilizes a master table to retrieve instructions for conversion and compilation, ensuring that the output is generated in accordance with the first framework.

Career Highlights

Ren Jie Feng is currently employed at International Business Machines Corporation (IBM), where he continues to advance his research and development in artificial intelligence technologies. His work has positioned him as a key player in the field, contributing to the evolution of AI model conversion techniques.

Collaborations

Ren Jie Feng collaborates with notable colleagues, including Li Cao and Zhan Peng Huo. Their combined expertise enhances the innovative projects they undertake at IBM.

Conclusion

Ren Jie Feng's contributions to artificial intelligence through his patents demonstrate his commitment to advancing technology in this rapidly evolving field. His work not only reflects his innovative spirit but also has the potential to impact the future of AI model conversion significantly.

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